Results 101 to 110 of about 159,459 (289)
Interpolating convex polynomials
Not available.
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This study presents a robot‐assisted remote rehabilitation system for postoperative ankle fractures. The 2.634 kg modular system uses wireless control and deep learning to predict force delays, achieving 100 Hz control (normalized root mean square error ≤ 10.89%).
Zhiyuan He +4 more
wiley +1 more source
Exploiting Multitask Deep Learning to Identify Multiple Heavy Metal Contamination at Large Scales
A multitask deep learning framework evaluates manganese, chromium, and cobalt concentrations in European soils, achieving an average R2 of 0.75. From 2009 to 2015, soil concentrations increase significantly. Source analysis identifies anthropogenic manganese and geological chromium and cobalt origins.
Tao Hu +6 more
wiley +1 more source
On the existence of polynomial time algorithms for interpolation problems in propositional logic. [PDF]
Elias Dahlhaus +2 more
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Robotic Needle Steering for Percutaneous Interventions: Sensing, Modeling, and Control
This review examines recent advances in robotic needle steering for percutaneous interventions, highlighting closed‐loop sensing, physics‐informed tissue‐needle interaction modeling, and real‐time trajectory planning and control. It synthesizes innovations in deep learning, fiber‐optic feedback, and adaptive control strategies, and outlines emerging ...
Fangjiao Zhao +5 more
wiley +1 more source
Multivariate spline functions, B-spline bases and polynomial interpolations II [PDF]
Hakop Hakopian
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Interpolation by Integer-Valued Polynomials
The author pursues two directions to construct interpolating integer-valued polynomials on Krull domains \(R\), that means, given distinct \(a_1, \dots, a_n\in S\leq R\) and \(b_1, \dots, b_n\in R\) there exists an \(f\in \text{Int}(S,R)= \{f\in K[x] \mid f(S)\subseteq R\}\), \(K\) being the quotient field of \(R\), with \(f(a_i) =b_i\), \(i=1, \dots,n\
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Memristive Chaotic Circuit for Information Processing Through Time
A chaotic circuit that exploits the nonlinear characteristics of a memristive device is realized in hardware. The circuit response evolves through simple periodic, multiperiod, and chaotic regimes. The circuit also displays fading memory property. Finally, the circuit is used in a reservoir computing architecture to demonstrate nonlinear classification
Manuel Escudero +2 more
wiley +1 more source
A comparison of algorithms for polynomial interpolation
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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